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Inverting Deep Generative models, One layer at a time
v1v2 (latest)

Inverting Deep Generative models, One layer at a time

18 June 2019
Qi Lei
A. Jalal
Inderjit S. Dhillon
A. Dimakis
ArXiv (abs)PDFHTML

Papers citing "Inverting Deep Generative models, One layer at a time"

38 / 38 papers shown
Title
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
WIGMAAML
49
0
0
03 Jun 2025
Injectivity capacity of ReLU gates
Injectivity capacity of ReLU gates
Mihailo Stojnic
70
0
0
28 Oct 2024
On the Fine-Grained Hardness of Inverting Generative Models
On the Fine-Grained Hardness of Inverting Generative Models
Feyza Duman Keles
Chinmay Hegde
70
1
0
11 Sep 2023
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative
  Inference Framework for Deep Learning Classification Tasks
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks
Jingyi Li
Guocheng Liao
Lin Chen
Xu Chen
73
9
0
06 Sep 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse
  Engineering of Deceptions
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions
D. Thaker
Paris V. Giampouras
René Vidal
AAML
59
0
0
07 Jun 2023
Single-Model Attribution of Generative Models Through Final-Layer
  Inversion
Single-Model Attribution of Generative Models Through Final-Layer Inversion
M. Laszkiewicz
Jonas Ricker
Johannes Lederer
Asja Fischer
96
3
0
26 May 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction
Deep Joint Source-Channel Coding with Iterative Source Error Correction
Changwoo Lee
Xiao Hu
Hun-Seok Kim
54
6
0
17 Feb 2023
Reconstructing Training Data from Model Gradient, Provably
Reconstructing Training Data from Model Gradient, Provably
Zihan Wang
Jason D. Lee
Qi Lei
FedML
116
26
0
07 Dec 2022
Optimization for Amortized Inverse Problems
Optimization for Amortized Inverse Problems
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
84
6
0
25 Oct 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
110
32
0
29 Jun 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation
Equivariant Priors for Compressed Sensing with Unknown Orientation
Anna Kuzina
Kumar Pratik
F. V. Massoli
Arash Behboodi
137
2
0
28 Jun 2022
Signal Recovery with Non-Expansive Generative Network Priors
Signal Recovery with Non-Expansive Generative Network Priors
Jorio Cocola
61
1
0
24 Apr 2022
Universal Joint Approximation of Manifolds and Densities by Simple
  Injective Flows
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows
Michael Puthawala
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
90
13
0
08 Oct 2021
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
104
339
0
03 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models
Regularising Inverse Problems with Generative Machine Learning Models
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GANMedIm
67
38
0
22 Jul 2021
Privacy Vulnerability of Split Computing to Data-Free Model Inversion
  Attacks
Privacy Vulnerability of Split Computing to Data-Free Model Inversion Attacks
Xin Dong
Hongxu Yin
J. Álvarez
Jan Kautz
Pavlo Molchanov
H. T. Kung
MIACV
83
8
0
13 Jul 2021
The Effects of Invertibility on the Representational Complexity of
  Encoders in Variational Autoencoders
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek
Andrej Risteski
DRL
50
0
0
09 Jul 2021
Instance-Optimal Compressed Sensing via Posterior Sampling
Instance-Optimal Compressed Sensing via Posterior Sampling
A. Jalal
Sushrut Karmalkar
A. Dimakis
Eric Price
79
52
0
21 Jun 2021
Provably Convergent Algorithms for Solving Inverse Problems Using
  Generative Models
Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models
Viraj Shah
Rakib Hyder
M. Salman Asif
Chinmay Hegde
49
3
0
13 May 2021
On Linear Interpolation in the Latent Space of Deep Generative Models
On Linear Interpolation in the Latent Space of Deep Generative Models
M. Michelis
Quentin Becker
79
11
0
08 May 2021
Unsupervised 3D Shape Completion through GAN Inversion
Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang
Xinyi Chen
Zhongang Cai
Liang Pan
Haiyu Zhao
Shuai Yi
C. Yeo
Bo Dai
Chen Change Loy
3DPC
70
114
0
27 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin
Arun Mallya
Arash Vahdat
J. Álvarez
Jan Kautz
Pavlo Molchanov
FedML
101
475
0
15 Apr 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics
Provable Compressed Sensing with Generative Priors via Langevin Dynamics
Thanh V. Nguyen
Gauri Jagatap
Chinmay Hegde
GAN
79
15
0
25 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep
  Generative Models
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras
Joseph Dean
A. Jalal
A. Dimakis
DRL
230
85
0
15 Feb 2021
Stochastic Image Denoising by Sampling from the Posterior Distribution
Stochastic Image Denoising by Sampling from the Posterior Distribution
Bahjat Kawar
Gregory Vaksman
Michael Elad
DiffM
87
64
0
23 Jan 2021
GAN Inversion: A Survey
GAN Inversion: A Survey
Weihao Xia
Yulun Zhang
Yujiu Yang
Jing-Hao Xue
Bolei Zhou
Ming-Hsuan Yang
DiffM
249
520
0
14 Jan 2021
MixCon: Adjusting the Separability of Data Representations for Harder
  Data Recovery
MixCon: Adjusting the Separability of Data Representations for Harder Data Recovery
Xiaoxiao Li
Yangsibo Huang
Binghui Peng
Zhao Song
Keqin Li
MIACV
69
1
0
22 Oct 2020
Compressed Sensing via Measurement-Conditional Generative Models
Compressed Sensing via Measurement-Conditional Generative Models
Kyungsu Kim
J. H. Lee
Eunho Yang
GANMedIm
69
3
0
02 Jul 2020
When and How Can Deep Generative Models be Inverted?
When and How Can Deep Generative Models be Inverted?
Aviad Aberdam
Dror Simon
Michael Elad
94
13
0
28 Jun 2020
Robust Compressed Sensing using Generative Models
Robust Compressed Sensing using Generative Models
A. Jalal
Liu Liu
A. Dimakis
Constantine Caramanis
96
41
0
16 Jun 2020
Globally Injective ReLU Networks
Globally Injective ReLU Networks
Michael Puthawala
K. Kothari
Matti Lassas
Ivan Dokmanić
Maarten V. de Hoop
103
28
0
15 Jun 2020
Constant-Expansion Suffices for Compressed Sensing with Generative
  Priors
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
C. Daskalakis
Dhruv Rohatgi
Manolis Zampetakis
65
12
0
07 Jun 2020
Image Restoration from Parametric Transformations using Generative
  Models
Image Restoration from Parametric Transformations using Generative Models
Kalliopi Basioti
G. Moustakides
DiffMGAN
60
5
0
27 May 2020
Deep Learning Techniques for Inverse Problems in Imaging
Deep Learning Techniques for Inverse Problems in Imaging
Greg Ongie
A. Jalal
Christopher A. Metzler
Richard G. Baraniuk
A. Dimakis
Rebecca Willett
122
537
0
12 May 2020
Solving Inverse Problems with a Flow-based Noise Model
Solving Inverse Problems with a Flow-based Noise Model
Jay Whang
Qi Lei
A. Dimakis
132
39
0
18 Mar 2020
Privacy-preserving Learning via Deep Net Pruning
Privacy-preserving Learning via Deep Net Pruning
Yangsibo Huang
Yushan Su
S. S. Ravi
Zhao Song
Sanjeev Arora
Keqin Li
MLT
68
16
0
04 Mar 2020
Inference with Deep Generative Priors in High Dimensions
Inference with Deep Generative Priors in High Dimensions
Jillian R. Fisher
Mojtaba Sahraee-Ardakan
S. Rangan
Zaid Harchaoui
Yejin Choi
BDL
64
47
0
08 Nov 2019
Generative Imaging and Image Processing via Generative Encoder
Generative Imaging and Image Processing via Generative Encoder
Lin Chen
Haizhao Yang
GAN
24
1
0
23 May 2019
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